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High-Throughput Sequencing

Gene expression, transcription factor, and methylation analysis of Next-Generation Sequencing (NGS) data, including RNA-Seq and ChIP-Seq

High-throughput sequencing methods generate large amounts of sequence data and require robust computational tools for further analysis. Bioinformatics Toolbox™ provides algorithms to support common analysis workflows for Next-Generation Sequencing (NGS) data, such as filtering and trimming reads, mapping reads to references, counting the number of reads mapped to genomic features, and performing statistical analyses.

Highlighted Topics

Categories

  • Data Import
    Import Next-Generation Sequencing (NGS) data and feature annotations from SAM, BAM, FASTA, FASTQ, GTF, and GFF files
  • Preprocessing
    Manage NGS data with single- and paired-end reads, filter and trim reads, and display quality statistics
  • Alignment
    Map reads to reference sequences
  • Statistical Analysis
    Read summarization and statistical analyses on RNA-seq and ChIP-seq data
  • Visualization
    Visualize alignment of reads to reference sequences

Featured Examples